As a key member of the Team, you will support the selection and implementation of technical solutions on the P&C data platform by utilising the latest advancements in IT-architecture and contribute to the development of the in-house R-Shiny applications which are the key tools in P&C Analytics.
SCOR, the 4th largest reinsurer in the world, provides insurance companies with a diversified and innovative range of solutions and services to control and manage risk. Leveraging experience and expertise to deliver "The Art & Science of Risk", SCOR provides cutting-edge financial solutions, analytics tools and services in all areas related to risk - from Life & Health and Property & Casualty insurance to Investments. Our specialized teams operate in over 160 countries, fostering long-term relationships with clients.
In order to provide our clients with a broad range of innovative reinsurance solutions, SCOR pursues an underwriting policy that is founded on profitability and supported by effective risk management strategy and a prudent investment policy. This approach allows us to offer clients an optimum level of security, to create value for shareholders, and to contribute to the welfare and resilience of society by helping to protect insureds against the risks they face.
At SCOR, we believe that employing people from different backgrounds and ensuring inclusivity is a major driving force for the success of the Group. We are committed to fostering a work environment in which all employees are treated fairly and respectfully, have equal access to opportunities and resources, and can contribute fully to SCOR's success.
The Analytics and Business Insights team is responsible for the data, processes, tools and analytics that are key in Reinsurance. The Team plays a critical role in the renewal monitoring, planning, forecasting and performance monitoring etc. The wide range of tasks to deliver insightful analytics creates very demanding challenges from the computational and technological side.
Key duties and responsibilities
- Develop the applications' architecture design and solve technical challenges to create functional and efficient solutions for business analytics.
- Optimize the applications in terms of speed, costs, and convenience by using modern technologies and numerical and mathematical methods.
- Ensure efficient usage on a cloud infrastructure (Azure).
- Perform code review and code quality assurance.
- Ensure applications of consistent coding standards and own the business logic of the code.
- Collaborate with software engineers in the Tech&Data organization to ensure compliance with SCOR's IT landscape.
- Manage the testing work together with other business analysts and IT professionals.
- Develop solutions for data-driven business insights and advanced analytics (including machine learning) and support automation initiatives in Reinsurance.
Required experience & competencies
Experience:
- 3-5 years of experience in software development and data management.
- Excellent technical capabilities in statistical programming and some understanding of actuarial concepts.
- Good understanding of data models and designs, developing and executing SQL, Python and R scripts on complex data models.
- Sound working knowledge with R or Python and data visualization packages.
- Experience with Databricks platforms and/or Foundry is a plus.
- Experience in applying data science technologies in business is an asset.
Personal competencies:
- Ability to work on several concurrent projects and tasks and prioritize effectively.
- Thrives in an innovative culture and empowers others to take business decisions.
- Self-starter mindset to proactively identify opportunities and tackle them.
- Strong communication skills and a solution-oriented approach towards business problems and process improvements.
- Continuous learning and staying updated on programming languages and technologies are essential.
Required Education
- Minimum a bachelor's degree in computer science, software engineering or related fields.
- Actuarial background is an advantage.